Chapter 8 Differential abundance analysis
8.1 CC acclimation vs post2
8.1.1 Enrichment analysis: Ancombc2
8.1.1.1 Structural zeros
# A tibble: 181 × 14
# Rowwise:
genome present average domain phylum class order family genus species completeness contamination length gc
<chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 AH1_2nd_11:bin_000… accli 6.79 d__Ba… p__Ve… c__V… o__V… f__Ak… g__A… s__ 100 0.12 3.05e6 0.58
2 AH1_2nd_1:bin_0000… accli 5.96 d__Ba… p__Ba… c__B… o__B… f__Ma… g__O… s__ 99.5 0.1 3.92e6 0.44
3 AH1_2nd_17:bin_000… accli 2.61 d__Ba… p__Ba… c__B… o__B… f__Ri… g__M… s__ 98.1 0.06 2.37e6 0.44
4 AH1_2nd_17:bin_000… accli 2.42 d__Ba… p__Ba… c__B… o__B… f__Ba… g__B… s__ 88.0 3.29 4.26e6 0.4
5 AH1_2nd_14:bin_000… accli 2.19 d__Ba… p__Ba… c__C… o__L… f__La… g__ s__ 97.1 0.82 3.93e6 0.3
6 AH1_2nd_5:bin_0000… accli 1.63 d__Ba… p__Ba… c__B… o__B… f__Ma… g__O… s__ 99.6 0.04 3.60e6 0.45
7 AH1_2nd_12:bin_000… accli 1.52 d__Ba… p__Ba… c__B… o__E… f__Co… g__T… s__ 100 7.76 3.79e6 0.31
8 AH1_2nd_8:bin_0000… accli 1.25 d__Ba… p__Ps… c__A… o__R… f__RU… g__ s__ 99.6 0 8.93e5 0.36
9 AH1_2nd_1:bin_0000… accli 1.15 d__Ba… p__Ps… c__A… o__R… f__UB… g__C… s__ 98.0 0 9.35e5 0.28
10 AH1_2nd_12:bin_000… accli 0.911 d__Ba… p__Ba… c__C… o__L… f__La… g__C… s__ 72.2 2.05 3.51e6 0.42
# ℹ 171 more rows
8.2 WC acclimation vs post2
8.2.1 Enrichment analysis: Ancombc2
8.2.1.1 Structural zeros
# A tibble: 134 × 14
# Rowwise:
genome present average domain phylum class order family genus species completeness contamination length gc
<chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 AH1_2nd_13:bin_000… accli 2.13 d__Ba… p__Ba… c__C… o__L… f__La… g__ s__ 97.0 0.58 3.76e6 0.42
2 LI1_2nd_2:bin_0000… accli 2.07 d__Ba… p__Ba… c__B… o__E… f__Co… g__C… s__ 86.9 4.89 3.16e6 0.31
3 AH1_2nd_12:bin_000… accli 1.99 d__Ba… p__Ba… c__B… o__L… f__St… g__L… s__Lac… 99.9 0.2 2.05e6 0.38
4 LI1_2nd_3:bin_0000… accli 1.98 d__Ba… p__Ba… c__B… o__S… f__St… g__S… s__Sta… 91.7 3.54 2.96e6 0.32
5 LI1_2nd_8:bin_0000… accli 1.47 d__Ba… p__Ba… c__C… o__O… f__Ru… g__A… s__ 80.1 3.35 2.72e6 0.62
6 LI1_2nd_2:bin_0000… accli 1.14 d__Ba… p__Ba… c__B… o__R… f__UB… g__C… s__ 91.6 1.86 1.13e6 0.28
7 LI1_2nd_2:bin_0000… accli 1.10 d__Ba… p__Ba… c__C… o__O… f__Ru… g__R… s__ 94.7 2.65 2.84e6 0.53
8 AH1_2nd_6:bin_0000… accli 1.09 d__Ba… p__Ba… c__C… o__L… f__La… g__J… s__ 99.8 0.57 3.69e6 0.45
9 LI1_2nd_1:bin_0000… accli 1.07 d__Ba… p__Ba… c__C… o__T… f__CA… g__R… s__ 83.8 7.54 1.93e6 0.3
10 AH1_2nd_16:bin_000… accli 1.07 d__Ba… p__Ba… c__B… o__B… f__Ri… g__A… s__ 93.6 6.68 3.45e6 0.59
# ℹ 124 more rows
8.3 CI acclimation vs post2
8.3.1 Enrichment analysis: Ancombc2
8.3.1.1 Structural zeros
# A tibble: 195 × 14
# Rowwise:
genome present average domain phylum class order family genus species completeness contamination length gc
<chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 AH1_2nd_1:bin_0000… accli 39.3 d__Ba… p__Ba… c__C… o__L… f__La… g__K… s__ 98.5 4.38 4.26e6 0.44
2 LI1_2nd_7:bin_0000… accli 7.37 d__Ba… p__Ba… c__B… o__E… f__Er… g__B… s__ 97.9 2.36 2.62e6 0.3
3 AH1_2nd_18:bin_000… accli 4.35 d__Ba… p__Ba… c__B… o__B… f__Ta… g__P… s__ 98.7 0.01 4.01e6 0.43
4 AH1_2nd_20:bin_000… accli 2.87 d__Ba… p__Ba… c__C… o__L… f__La… g__R… s__ 100. 0.43 3.73e6 0.42
5 AH1_2nd_5:bin_0000… accli 2.45 d__Ba… p__Ba… c__B… o__B… f__Ba… g__B… s__ 86.4 3.24 5.34e6 0.43
6 AH1_2nd_1:bin_0000… accli 1.71 d__Ba… p__Ba… c__B… o__B… f__Ta… g__P… s__ 99.6 1.94 4.53e6 0.51
7 AH1_2nd_20:bin_000… accli 1.69 d__Ba… p__Ba… c__B… o__L… f__En… g__E… s__ 92.6 6.02 4.15e6 0.4
8 AH1_2nd_16:bin_000… accli 1.59 d__Ba… p__Ba… c__C… o__L… f__ g__ s__ 98.4 0.14 3.87e6 0.28
9 LI1_2nd_3:bin_0000… accli 1.48 d__Ba… p__Ba… c__B… o__E… f__Er… g__C… s__ 99.8 1.24 3.67e6 0.36
10 AH1_2nd_10:bin_000… accli 1.20 d__Ba… p__Ba… c__C… o__L… f__La… g__E… s__ 88.9 0.53 3.62e6 0.48
# ℹ 185 more rows
8.4 post2 CC and CI
8.4.1 Enrichment analysis: Ancombc2
8.4.1.1 Structural zeros
# A tibble: 174 × 14
# Rowwise:
genome present average domain phylum class order family genus species completeness contamination length gc
<chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 AH1_2nd_18:bin_000… cc_pos… 36.2 d__Ba… p__Ba… c__B… o__B… f__Ta… g__P… s__ 98.7 0.01 4.01e6 0.43
2 AH1_2nd_15:bin_000… cc_pos… 7.12 d__Ba… p__Cy… c__V… o__G… f__Ga… g__L… s__ 99.8 0.87 2.11e6 0.37
3 LI1_2nd_7:bin_0000… cc_pos… 4.42 d__Ba… p__Ba… c__C… o__C… f__Cl… g__S… s__ 98.3 1.37 3.94e6 0.28
4 AH1_2nd_9:bin_0000… cc_pos… 4.33 d__Ba… p__Ps… c__G… o__B… f__Bu… g__A… s__ 72.8 6.01 3.34e6 0.57
5 AH1_2nd_7:bin_0000… cc_pos… 3.75 d__Ba… p__Ps… c__A… o__R… f__CA… g__C… s__ 100 0.49 1.79e6 0.43
6 AH1_2nd_1:bin_0000… cc_pos… 2.77 d__Ba… p__Ba… c__B… o__B… f__Ta… g__P… s__ 99.6 1.94 4.53e6 0.51
7 AH1_2nd_7:bin_0000… cc_pos… 1.87 d__Ba… p__Ba… c__C… o__L… f__La… g__J… s__ 100 2.39 4.97e6 0.43
8 AH1_2nd_7:bin_0000… cc_pos… 1.49 d__Ba… p__Ba… c__B… o__B… f__Ta… g__P… s__ 93.7 2.1 5.26e6 0.43
9 AH1_2nd_7:bin_0000… cc_pos… 1.47 d__Ba… p__Ba… c__C… o__O… f__Ru… g__ s__ 91.7 4.31 2.93e6 0.49
10 AH1_2nd_19:bin_000… cc_pos… 1.35 d__Ba… p__Ba… c__C… o__L… f__La… g__C… s__ 92.8 4.49 5.61e6 0.47
# ℹ 164 more rows
8.5 post2 WC and CI
8.5.1 Enrichment analysis: Ancombc2
####Structural zeros
# A tibble: 161 × 14
# Rowwise:
genome present average domain phylum class order family genus species completeness contamination length gc
<chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 AH1_2nd_14:bin_000… ci_pos… 17.8 d__Ba… p__Ba… c__C… o__C… f__UB… g__ s__ 94.8 0 2.02e6 0.36
2 AH1_2nd_1:bin_0000… ci_pos… 4.77 d__Ba… p__Ps… c__A… o__R… f__UB… g__C… s__ 98.0 0 9.35e5 0.28
3 AH1_2nd_12:bin_000… ci_pos… 4.76 d__Ba… p__Ba… c__B… o__M… f__My… g__M… s__ 92.6 0.18 1.01e6 0.27
4 AH1_2nd_8:bin_0000… ci_pos… 4.34 d__Ba… p__Ps… c__A… o__R… f__RU… g__ s__ 99.6 0 8.93e5 0.36
5 AH1_2nd_1:bin_0000… ci_pos… 4.10 d__Ba… p__Ba… c__C… o__L… f__La… g__M… s__ 96.6 0.56 3.88e6 0.33
6 AH1_2nd_19:bin_000… ci_pos… 3.95 d__Ba… p__Ve… c__V… o__O… f__LL… g__ s__ 92.8 0 8.89e5 0.53
7 AH1_2nd_2:bin_0000… ci_pos… 3.09 d__Ba… p__Ve… c__V… o__O… f__LL… g__ s__ 93.8 0 8.62e5 0.56
8 AH1_2nd_6:bin_0000… ci_pos… 2.21 d__Ba… p__Ba… c__B… o__F… f__We… g__M… s__ 98.7 0.1 3.38e6 0.36
9 AH1_2nd_10:bin_000… ci_pos… 1.72 d__Ba… p__De… c__D… o__D… f__De… g__B… s__ 97.9 0.61 3.77e6 0.51
10 AH1_2nd_5:bin_0000… ci_pos… 1.67 d__Ba… p__Ba… c__C… o__O… f__Os… g__P… s__ 93.4 7.74 3.92e6 0.58
# ℹ 151 more rows
8.6 Community level plots
accli_post2<-sample_metadata%>%
filter(time_point == "1_Acclimation"|time_point == "6_Post-FMT2")
accli_post2$newID<-paste(accli_post2$type, "_", accli_post2$time_point)
GIFTs_functions_community %>%
as.data.frame() %>%
rownames_to_column("sample") %>%
left_join(accli_post2, by = join_by(sample == Tube_code)) %>%
filter(time_point == "1_Acclimation"|time_point == "6_Post-FMT2") %>%
select(c(1:29, 36,39)) %>%
pivot_longer(-c(sample,type,time_point),names_to = "trait", values_to = "value") %>%
mutate(trait = case_when(
trait %in% GIFT_db3$Code_function ~ GIFT_db3$Function[match(trait, GIFT_db3$Code_function)],
TRUE ~ trait
)) %>%
mutate(trait=factor(trait,levels=unique(GIFT_db3$Function))) %>%
ggplot(aes(x=value, y=time_point, group=time_point, fill=type, color=type)) +
geom_boxplot() +
scale_color_manual(name="type",
breaks=c("Control","Hot_control", "Treatment"),
labels=c("Cold-Cold","Hot-Hot", "Cold-Hot"),
values=c("#4477AA","#d57d2c","#76b183")) +
scale_fill_manual(name="type",
breaks=c("Control","Hot_control", "Treatment"),
labels=c("Cold-Cold","Hot-Hot", "Cold-Hot"),
values=c("#4477AA50","#d57d2c50","#76b18350")) +
facet_grid(trait ~ type, space="free", scales="free") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
strip.text.y = element_text(angle = 0)) +
labs(y="Traits",x="Metabolic capacity index")
GIFTs_elements_community_merged<-GIFTs_elements_community %>%
as.data.frame() %>%
rownames_to_column(var="sample") %>%
filter(sample!="AD69") %>%
pivot_longer(!sample,names_to="trait",values_to="gift") %>%
left_join(sample_metadata, by = join_by(sample == Tube_code))%>%
filter(time_point=="1_Acclimation"|time_point == "6_Post-FMT2")%>%
mutate(functionid = substr(trait, 1, 3)) %>%
mutate(trait = case_when(
trait %in% GIFT_db3$Code_element ~ GIFT_db3$Element[match(trait, GIFT_db3$Code_element)],
TRUE ~ trait
)) %>%
mutate(functionid = case_when(
functionid %in% GIFT_db3$Code_function ~ GIFT_db3$Function[match(functionid, GIFT_db3$Code_function)],
TRUE ~ functionid
)) %>%
mutate(trait=factor(trait,levels=unique(GIFT_db3$Element))) %>%
mutate(functionid=factor(functionid,levels=unique(GIFT_db3$Function)))
# Create an interaction variable for time_point and sample
GIFTs_elements_community_merged$interaction_var <- interaction(GIFTs_elements_community_merged$sample, GIFTs_elements_community_merged$time_point)
ggplot(GIFTs_elements_community_merged,aes(x=interaction_var,y=trait,fill=gift)) +
geom_tile(colour="white", linewidth=0.2)+
scale_fill_gradientn(colours=rev(c("#d53e4f", "#f46d43", "#fdae61", "#fee08b", "#e6f598", "#abdda4", "#ddf1da")))+
facet_grid(functionid ~ type, scales="free",space="free") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1, size=5),
strip.text.y = element_text(angle = 0)) +
labs(y="Traits",x="Time_point",fill="GIFT")+
scale_x_discrete(labels = function(x) gsub(".*\\.", "", x))
8.7 Wilcoxon comparison
8.7.1 Community elements differences: in CC acclimation vs post2
Elements Acclimation Post2 Function Element Difference group_color
1 T0503 0.1830714 0.01253516 Vitamin transport_Niacin (B3) Niacin (B3) 0.1705362 Acclimation
8.7.2 Community elements differences: in CI acclimation vs post2
difference_table_CI %>%
filter(group_color=="Acclimation")
8.7.3 Community elements differences: in WC acclimation vs post2
difference_table_WC %>%
filter(group_color=="Acclimation")
8.7.4 Comparison of both population in wild samples
Elements Acclimation Post2 Function Element Difference group_color
1 T0211 0.07898304 0.03960845 Amino acid transport_Serine Serine 0.03937459 Acclimation
2 T0705 0.03026609 0.01792140 Nucleic acid transport_Allantoin Allantoin 0.01234469 Acclimation
3 T0401 0.08571001 0.03355773 Organic anion transport_Spermidine Spermidine 0.05215228 Acclimation
4 T0406 0.06660075 0.02039130 Organic anion transport_Succinate Succinate 0.04620945 Acclimation
5 D0301 0.03445823 0.02175758 Sugar degradation_Lactose Lactose 0.01270065 Acclimation
6 B0711 0.31689890 0.23431920 Vitamin biosynthesis_Menaquinone (K2) Menaquinone (K2) 0.08257970 Acclimation
7 T0503 0.05906234 0.02697581 Vitamin transport_Niacin (B3) Niacin (B3) 0.03208653 Acclimation
####Butiryc acid biosynthesis
